{"id":"W4399063149","doi":"10.54033/cadpedv21n5-199","title":"Avaliação expressão do miR 10a no câncer de bexiga através de análises de bioinformática","year":2024,"lang":"pt","type":"article","venue":"Caderno Pedagógico","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Cancer research; Gynecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004669354,0.0005978396,0.0003643497,0.0001531289,0.0002038689,0.0004268849,0.0005958655,0.000994832,0.00131617],"category_scores_gemma":[0.0002473822,0.0006322559,0.0004845198,0.0002283892,0.0002857065,0.00003360962,0.0002966878,0.0004525363,0.0006003604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844682,"about_ca_system_score_gemma":0.001583583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007279303,"about_ca_topic_score_gemma":0.00001996921,"domain_scores_codex":[0.9967185,0.0001826259,0.0005761097,0.0009385689,0.0003415671,0.001242593],"domain_scores_gemma":[0.9981024,0.00006512744,0.0001519804,0.0008568018,0.0001817179,0.0006420252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002172636,0.0001625037,0.003473865,0.001298314,0.0004198526,0.0001552771,0.001645982,0.0002381731,0.9051476,0.0003375332,0.08091404,0.005989616],"study_design_scores_gemma":[0.001073976,0.0003710733,0.007980371,0.001082514,0.0006886387,0.0003660817,0.0007226478,0.007943399,0.442894,0.0005381383,0.5348488,0.001490361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048486,0.07908668,0.005334857,0.0009976634,0.001011983,0.0006727768,0.00067017,0.0001835927,0.007193712],"genre_scores_gemma":[0.9805405,0.003036408,0.001272319,0.0007614903,0.001634297,0.00009071649,0.000379331,0.00015983,0.01212508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4622536,"threshold_uncertainty_score":0.9996129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752561487042579,"score_gpt":0.2977819066666644,"score_spread":0.2802562917962386,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}